Skip to main content

ggplot for python

Project description



from ggplot import *

ggplot(aes(x='date', y='beef'), data=meat) + \
geom_point() + \
geom_line(color='lightblue') + \
ggtitle("Beef: It's What's for Dinner") + \
xlab("Date") + \
ylab("Head of Cattle Slaughtered")

What is it?

Yes, it's another implementation of
```ggplot2`` <>`__. One of the biggest
reasons why I continue to reach for ``R`` instead of ``Python`` for data
analysis is the lack of an easy to use, high level plotting package like
``ggplot``. I've tried other libraries like ``Bockah`` and ``d3py`` but
what I really want is ``ggplot2``.

``ggplot`` is just that. It's an extremely un-pythonic package for doing
exactly what ``ggplot2`` does. The goal of the package is to mimic the
``ggplot2`` API. This makes it super easy for people coming over from
``R`` to use, and prevents you from having to re-learn how to plot


- same API as ``ggplot2`` for ``R``
- tight integration with
```pandas`` <>`__
- pip installable

Getting Started


- ``matplotlib``
- ``pandas``
- ``numpy``
- ``scipy``

unzip the matplotlibrc

$ unzip ~/ $ pip install ggplot




from ggplot import *
ggplot(diamonds, aes('carat', 'price')) + \



p = ggplot(aes(x='carat'), data=diamonds)
p + geom_hist() + ggtitle("Histogram of Diamond Carats") + labs("Carats", "Freq")



p = ggplot(mtcars, aes('cyl'))
p + geom_bar()


- finish README
- add matplotlibrc to build script
- distribute on PyPi (DONE)
- come up with better name (DONE)
- handle NAs gracefully (DONE)
- make ``aes`` guess what the user actually means (DONE)
- aes:

- size
- se for stat\_smooth (DONE)
- fix fill/colour (color DONE)

- geoms:

- geom\_abline (DONE)
- geom\_area (DONE)
- geom\_bar (IN PROGRESS)
- geom\_boxplot
- geom\_hline (DONE)
- geom\_ribbon (same as geom\_ribbon?)
- geom\_vline (DONE)
- stat\_bin2d (DONE)
- geom\_jitter
- stat\_smooth (bug)

- scales:

- scale\_colour\_brewer
- scale\_colour\_gradient
- scale\_colour\_gradient2
- scale\_x\_continuous
- scale\_x\_discrete
- scale\_y\_continuous

- facets:

- facet\_grid (DONE)

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Filename, size & hash SHA256 hash help File type Python version Upload date
ggplot-0.1.6-py2.7.egg (644.7 kB) Copy SHA256 hash SHA256 Egg 2.7
ggplot-0.1.6.tar.gz (591.6 kB) Copy SHA256 hash SHA256 Source None

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page